Research on Text Extraction Algorithm for Metrological Experiment Detection Based on Deep Learning

This power metering test detects various types of text data, with large variations in text length, which has a significant impact on the text detection model. Therefore, this article builds a deep learning model for power measurement experiment detection text based on DBNet, and uses MobilenetV3 feature extraction network, and adds residual links to PAN for feature enhancement. Finally, ASF is used for feature fusion, effectively solving the problem of detecting long texts in measurement experiment detection text data and achieving a high detection rate. The comparison of the final experimental results proves the superiority of this model.